Evidence map›Paper›PMID 1696160›Full record

ArticleCanadian journal of veterinary research = Revue canadienne de recherche veterinaire1990

Immunohistochemical detection of intermediate filament proteins in formalin fixed normal and neoplastic canine tissues.

M M Desnoyers, D M Haines, G P Searcy

Abstract read
In one paragraph

Article in Canadian journal of veterinary research = Revue canadienne de recherche veterinaire, 1990. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 39 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

M M DesnoyersDepartment of Veterinary Pathology, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon.
D M Haines
G P Searcy
University of Saskatchewan · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Normal and well differentiated neoplastic canine tissues were immunohistochemically stained for keratin, vimentin and desmin intermediate filament proteins using commercially available monoclonal antibodies. Keratin was detected in 56 of 57 carcinomas, vimentin in 59 of 62 sarcomas and desmin in three of four muscle cell tumors. Most normal and neoplastic tissues expressed only one type of intermediate filament; exceptions were one hemangiosarcoma and one pulmonary carcinoma in which there was coexpression of vimentin and keratin proteins. Since immunohistochemical detection of intermediate filaments has tissue-specific distribution in the majority of well differentiated canine neoplasms, these stains may be useful in the differential diagnosis of anaplastic canine tumors. However, the monoclonal antibodies to cytokeratin which were tested in this study failed to detect intermediate filaments in liver, pancreas and salivary glands which suggests that these antibodies may also be unable to detect epithelial tumors derived from these tissues. In addition, in nine neoplasms, the normal tissues adjacent to neoplastic cells failed to stain for the intermediate filament normally expressed. When this occurs, evaluation of intermediate filament expression is invalid for the determination of tissue of origin of the neoplastic cells.

Indexed as

AnimalsAntibodies, MonoclonalCarcinomaDesminDog DiseasesDogsImmunohistochemistryIntermediate Filament ProteinsKeratinsSarcomaVimentinAntibodies, MonoclonalDesminIntermediate Filament ProteinsKeratinsVimentin

Identifiers

PMID1696160
PMCPMC1255670
OpenAlexW1567329910

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.